R/partition_div.R
partition_div.Rdpartition_div calculates the diversity of cases that belong to the same
partition of the clustered data (a time series; a cross section; etc.).
Diversity is measured by the number of truth table rows that the cases of
a partition cover. partition_div calculates the partition diversity
for all truth table rows and for the subsets of consistent and
inconsistent rows.
partition_div(dataset, units, time, cond, out, n_cut, incl_cut)
| dataset | Calibrated pooled dataset that is partitioned and minimized for deriving the pooled solution. |
|---|---|
| units | Units defining the within-dimension of data (time series) |
| time | Periods defining the between-dimension of data (cross sections) |
| cond | Conditions used for the pooled analysis |
| out | Outcome used for the pooled analysis |
| n_cut | Frequency cut-off for designating truth table rows as observed in the pooled data |
| incl_cut | Inclusion cut-off for designating truth table rows as consistent in the pooled data |
A dataframe presenting the diversity of cases belonging to the same partition with the following columns:
type: The type of the partition. pooled are
rows with information on the pooled data; between is for
cross-section partitions; within is for time-series partitions.
partition: Specific dimension of the partition at hand. For
between-dimension, the unit identifiers are included here
(argument units). For the within-dimension, the time identifier
are listed (argument time). The entry is - for the
pooled data without partitions.
diversity: Count of all truth table rows with at least one member
belonging to a partition.
diversity_1: Count of consistent truth table rows with at least
one member belonging to a partition.
diversity_0: Count of inconsistent truth table rows with at least
one member belonging to a partition.
diversity_per: Ratio of the value for diversity and the
total number of truth table rows from pooled data
(diversity value for pooled data).
diversity_per_1: Ratio of the value for diversity_1 and the
total number of consistent truth table rows from pooled data
(diversity_1 value for pooled data).
diversity_per_0: Ratio of the value for diversity_0 and the
total number of inconsistent truth table rows from pooled data
(diversity_0 value for pooled data).